DocumentCode :
3609072
Title :
Automatic Fault Detection in WDM-PON With Tunable Photon Counting OTDR
Author :
Amaral, Gustavo C. ; Garcia, Joaquim D. ; Herrera, Luis E. Y. ; Temporao, Guilherme P. ; Urban, Patryk J. ; von der Weid, Jean Pierre
Author_Institution :
Center for Telecommun. Studies, Pontifical Catholic Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
Volume :
33
Issue :
24
fYear :
2015
Firstpage :
5025
Lastpage :
5031
Abstract :
An automatic fiber-optical fault analysis system making use of a tunable photon counting optical time-domain reflectometry (OTDR) (ν-OTDR) is proposed and demonstrated in a passive optical network testbed. The employment of the ℓ trend filter as a signal processing tool enables the minimization of the intrinsic coherent random noise impact on the acquired data and also an automatic identification of fiber faults. A feedback loop between an FPGA-based acquisition unit and the filter´s selections yields highly accurate automatic results and minute monitoring periods with ITU-T grid DWDM tunability, spatial resolution of 6 m and a measured 32 dB dynamic range.
Keywords :
fault diagnosis; optical fibre filters; optical fibre testing; optical information processing; optical noise; optical time-domain reflectometry; optical tuning; passive optical networks; photon counting; random noise; wavelength division multiplexing; ℓ trend filter; FPGA-based acquisition unit; ITU-T grid DWDM tunability; WDM-PON; automatic fault detection; automatic fiber-optical fault analysis; feedback loop; intrinsic coherent random noise; passive optical network testbed; signal processing tool; spatial resolution; tunable photon counting OTDR; tunable photon counting optical time-domain reflectometry; Dynamic range; Market research; Noise; Optical attenuators; Optical filters; Optical pulses; Photonics; Optical Fiber Testing; Optical Time Domain Reflectometry; Optical fiber testing; Signal Reconstruction; optical time domain reflectometry; signal reconstruction;
fLanguage :
English
Journal_Title :
Lightwave Technology, Journal of
Publisher :
ieee
ISSN :
0733-8724
Type :
jour
DOI :
10.1109/JLT.2015.2495518
Filename :
7307937
Link To Document :
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